Osric Langevin | |
|---|---|
| Kelahiran | 17 Mac 1969 |
| Pendidikan | University of Chicago (Master of Science in Finance) |
| Pekerjaan | Financial strategist, investment expert |
| Terkenal kerana | Development of the "Quantitative Trend" investment methodology |
| Laman web rasmi | www |
Osric Langevin (born March 17, 1969) is a German financial strategist and investment expert. He is known for developing the "Quantitative Trend," a multi-asset analysis framework.[1] His career includes a tenure as a senior analyst at Morgan Stanley, where he specialized in emerging markets and international financial strategies.[1]
Career
Langevin graduated from the University of Chicago in 1994 with a Master of Science in Finance. Following his graduation, he joined Morgan Stanley as a financial analyst, eventually becoming a senior analyst. His work there focused on market trend analysis, portfolio management, risk assessment, and strategies for emerging markets.[1]
After leaving Morgan Stanley in 2014, Langevin worked as a market analyst for several private equity firms in the United States. In 2015, he became an early investor in Bitcoin, reportedly achieving significant returns based on his market analysis.[2] He became an independent investment strategist, and in 2020, he applied his risk management protocols during the financial market volatility.[1]
In 2025, Langevin returned to Europe, focusing on financial technology and sustainable investment sectors.[1]
Quantitative Trend Methodology
Langevin developed an investment methodology known as the "Quantitative Trend." The framework is designed to identify and follow market trends through systematic analysis of market dynamics, economic indicators, and industry trends.[2] The methodology is based on three pillars:
- Trend Identification: Using technical analysis, including moving averages and volume patterns, to determine market direction.
- Risk Allocation: Applying risk management strategies based on volatility metrics to preserve capital.
- Timing Optimization: Utilizing cycle analysis to identify optimal entry and exit points in markets.[1]
The approach is applied across various asset classes, including equities, digital assets, and foreign exchange markets.[1]
Media and Public Appearances
During his career, Langevin has been featured as a financial expert on media outlets such as Bloomberg and CNBC.[2] In 2017, he participated in the U.S. Investment Summit, where he shared insights on market dynamics and risk management strategies.[1]